| Rank | Ticker | Consecutive Above 20SMA Days Yesterday | Name |
|---|---|---|---|
| 1 | NUE | 39 | Nucor Corporation |
| 2 | QS π π | 35 | QuantumScape Corporation |
| 3 | MGM | 29 | MGM Resorts International |
| 4 | RCL | 29 | Royal Caribbean Cruises Ltd. |
| 5 | APO | 27 | Apollo Global Management, Inc. |
| 6 | AAPL | 26 | Apple Inc. |
| 7 | EH | 24 | EHang Holdings Limited |
| 8 | SEDG π π | 24 | SolarEdge Technologies, Inc. |
| 9 | TIGR π π | 23 | UP Fintech Holding Limited |
| 10 | BA | 21 | Boeing Company (The) |
| 11 | SNAP | 21 | Snap Inc. |
| 12 | ABNB | 19 | Airbnb, Inc. |
| 13 | BTDR π π | 18 | Bitdeer Technologies Group |
| 14 | LI | 12 | Li Auto Inc. |
| 15 | RCAT π π | 12 | Red Cat Holdings, Inc. |
| 16 | NBIS π π | 11 | Nebius Group N.V. |
| 17 | APLD π π | 9 | Applied Digital Corporation |
| 18 | SERV π π | 9 | Serve Robotics Inc. |
| 19 | BIDU | 8 | Baidu, Inc. |
| 20 | JD | 8 | JD.com, Inc. |
| 21 | PYPL | 8 | PayPal Holdings, Inc. |
| 22 | AA | 7 | Alcoa Corporation |
| 23 | ADM | 7 | Archer-Daniels-Midland Company |
| 24 | EVGO π π | 7 | EVgo Inc. |
| 25 | RIVN π π | 7 | Rivian Automotive, Inc. |
| 26 | QXO π | 6 | QXO, Inc. |
| 27 | UAA | 6 | Under Armour, Inc. |
| 28 | SWK | 5 | None |
| 29 | TEM π | 5 | Tempus AI, Inc. |
| 30 | V | 5 | Visa Inc. |
| 31 | FDX | 4 | FedEx Corporation |
| 32 | GM π | 4 | General Motors Company |
| 33 | PANW | 4 | Palo Alto Networks, Inc. |
| 34 | RDDT π π | 3 | Reddit, Inc. |
| 35 | CAVA | 2 | CAVA Group, Inc. |
| 36 | TEAM | 2 | Atlassian Corporation |
| 37 | DOCS | 1 | Doximity, Inc. |
| 38 | META | 1 | Meta Platforms, Inc. |
| 39 | NXPI | 1 | NXP Semiconductors N.V. |
A 20βday Simple Moving Average (SMA) is a widely used technical analysis indicator that smooths out price data by calculating the arithmetic average of the closing prices over the most recent 20 trading days. Simply put, you sum up the closing price of each of the last 20 days and divide the total by 20 to get the SMA value. Each day, the oldest closing price drops out and the most recent one is included, so the line gradually adjusts. Because it assigns equal weight to each day, the 20βday SMA reacts more slowly than alternatives like the exponential moving average, which gives greater importance to recent price action. This smoothing effect makes it effective for identifying shortβterm trends, areas of support and resistance, and potential entry or exit signals when price crosses above or below the moving average. Swing traders often rely on the 20βday SMA to quickly gauge the current trend - whether bullish or bearish - and to use it dynamically as a support or resistance level. However, as a lagging indicator, it may produce false signals during sideways or choppy markets, so most traders use it in combination with momentum indicators like RSI or MACD for confirmation.